Senior Principal Platform Engineer, Data Architect Full Time

Summary:

• Coupa is a global leader in Business Spend Management (BSM), leveraging community-driven AI and a robust spend management platform to improve business margins for organizations of all sizes.
• As a Senior Principal Platform Engineer, Data Architect, you will be responsible for developing and enforcing data architecture standards, best practices, and design patterns.
• You will align data architecture capabilities with business objectives, working with engineering, product, and cross-functional teams to influence data opportunities and drive impactful business decisions.
• The role involves optimizing the performance, scalability, availability, and reliability of Coupa’s data platform.
• A key focus will be on implementing data governance, security, management practices, and improving the discoverability and usability of data across the organization.
• Your contributions will directly shape the future of Coupa’s data platform and influence the company’s ability to scale and make data-driven decisions.

Responsibilities:

• Develop, maintain, and enforce data architecture standards, best practices, and design patterns to ensure consistency and quality across data capabilities.
• Develop roadmaps for data architecture capabilities that align with business objectives and overall technology strategy, influencing engineering, product, and cross-functional teams to identify data opportunities and drive impactful business decisions.
• Identify and address performance bottlenecks in the data platform, ensuring the system can scale to meet the growing data demands of the business.
• Implement data partitioning, sharing, and indexing strategies to optimize query performance and reduce latency.
• Ensure the platform is designed for high availability, reliability, and fault tolerance, minimizing downtime and ensuring business continuity.
• Develop and enforce best practices for data governance, data security, and data management within the platform.
• Implement data cataloging and metadata management tools to improve data discoverability and usability across the organization.

Requirements:

• 10+ years of experience as a cloud-focused data architect.
• Deep understanding of data modeling principles, including schema design and dimensional data modeling, with experience in writing efficient SQL queries.
• Expertise in data technologies (Spark, Kafka, RDBMS, NoSQL, Hadoop).
• Ability to architect and develop scalable data solutions, staying ahead of industry trends and integrating best practices in data engineering.
• Proficiency in programming languages such as Java or Python for building data applications and automating workflows.
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) for deploying and managing data services.
• Knowledge of data governance, data quality, and master data management best practices.
• Excellent communication, problem-solving, and collaboration skills.

Benefits:

• Opportunity to work with cutting-edge technology and solutions in data architecture.
• Competitive salary based on location and experience, with specific pay ranges outlined for various states.
• Be part of a diverse, inclusive, and collaborative work environment with a global impact.
• Equal-opportunity employer committed to diversity and inclusion.